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arXiv · 2405.11355

Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems

Daniel Abode·Pedro Maia de Sant Ana·Alexander Artemenko·Ramoni Adeogun·Gilberto Berardinelli
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Abstract

In this paper, we develop a novel power control solution for subnetworks-enabled distributed control systems in factory settings. We propose a channel-independent control-aware (CICA) policy based on the logistic model and learn the parameters using Bayesian optimization with a multi-objective tree-structured Parzen estimator. The objective is to minimize the control cost of the plants, measured as a finite horizon linear quadratic regulator cost. The proposed policy can be executed in a fully distributed manner and does not require cumbersome measurement of channel gain information, hence it is scalable for large-scale deployment of subnetworks for distributed control applications. With extensive numerical simulation and considering different densities of subnetworks, we show that the proposed method can achieve competitive stability performance and high availability for large-scale distributed control plants with limited radio resources.

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Daniel Abode, Pedro Maia de Sant Ana, Alexander Artemenko, Ramoni Adeogun, Gilberto Berardinelli. 2024-05-18. Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems. https://arxiv.org/abs/2405.11355

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